Terrain Classification of Polarimetric SAR Images Based on Optimal Polarization Features
Author:
Affiliation:
1. School of Information Science and Technology, University of Science and Technology of China,Hefei,China
2. National University of Defense Technology,Hefei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9853204/9853314/09853427.pdf?arnumber=9853427
Reference7 articles.
1. Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix
2. An adaptive hybrid Freeman/Eigenvalue polarization decomposition model [J];lian;Remote Sens Land Resources,2017
3. Multiple-Component Scattering Model for Polarimetric SAR Image Decomposition
4. Wetland classification of SAR image based on the polarization characteristics combination [J];zhao;Journal of Geo-information Science,2021
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3. Learning Scattering Similarity and Texture-Based Attention With Convolutional Neural Networks for PolSAR Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2023
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